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Now showing items 21-26 of 26
Software Analytics for Improving Program Comprehension
(2021)
) complex call graphs can become very difficult to understand making call graphs much harder to visualize and interpret by a developer and thus increases the overhead in program comprehension; (2) they are often limited to a single level of granularity...
Topic network: a semantic model for effective learning
(University of Missouri--Kansas City, 2011-06-08)
. This can be achieved by defining a learning model that is based on the automated analysis of the importance of topics and relationships between them. In this thesis, an intelligent and dynamic model called Topic Network is proposed. Given a topic...
Automated End-to-End Management of the Deep Learning Lifecycle
(2020)
-to-end, including (1) monitoring and tracking experiments; (2) visualizing, searching for, and comparing models and experiments; (3) deploying models locally and on the cloud; and (4) sharing and publishing trained models. Our system also provides a stepping...
A Novel Deep Learning-Based Framework for Context Aware Semantic Segmentation in Medical Imaging
(2023)
automated screening system based on a unified modeling approach of diagnosis. The system can extract multiple ocular features with a novel semantic segmentation network to early detect the symptoms of retinal disease. We proposed a novel technique of dynamic...
RUPEE: A Big Data Approach to Indexing and Searching Protein Structures
(2021)
not based on structure alone. In the case of sequence clustering, strong structure similarities are often hidden behind cluster representatives. Existing protein structure searches that focus on better quality results often perform full pairwise protein...
H3DNET: A Deep Learning Framework for Hierarchical 3D Object Classification
(University of Missouri--Kansas City, 2017)
Deep learning has received a lot of attention in the fields such as speech recognition and
image classification because of the ability to learn multiple levels of features from raw data.
However, 3D deep learning is ...